以下取自 here 的代码在终端节点中显示了 %:
# install if necessary
install.packages('rpart')
install.packages('rattle')
# load libraries
library(rpart)
library(rattle)
rpart <- rpart(Species ~ ., data=iris, method="class",)
rpart
n= 150
node), split, n, loss, yval, (yprob)
* denotes terminal node
1) root 150 100 setosa (0.33333333 0.33333333 0.33333333)
2) Petal.Length< 2.45 50 0 setosa (1.00000000 0.00000000 0.00000000) *
3) Petal.Length>=2.45 100 50 versicolor (0.00000000 0.50000000 0.50000000)
6) Petal.Width< 1.75 54 5 versicolor (0.00000000 0.90740741 0.09259259) *
7) Petal.Width>=1.75 46 1 virginica (0.00000000 0.02173913 0.97826087) *
# plot decision tree
fancyRpartPlot(rpart, main="Iris")
您认为可以改为显示绝对观测数吗?谢谢!